Parametric Roll Resonance Detection using Phase Correlation and Log-likelihood Testing Techniques

Roberto Galeazzi, Mogens Blanke, Niels Kjølstad Poulsen

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    Abstract

    Real-time detection of parametric roll is still an open issue that is gathering an increasing attention. A first generation warning systems, based on guidelines and polar diagrams, showed their potential to face issues like long-term prediction and risk assessment. This paper presents a second generation warning system the purpose of which is to provide the master with an onboard system able to trigger an alarm when parametric roll is likely to happen within the immediate future. A detection scheme is introduced, which is able to issue a warning within five roll periods after a resonant motion started. After having determined statistical properties of the signals at hand, a detector based on the generalised log-likelihood ratio test (GLRT) is designed to look for variation in signal power. The ability of the detector to trigger alarms when parametric roll is going to onset is evaluated on two sets of experimental data, covering both regular and irregular seas in a model basin.
    Original languageEnglish
    Title of host publicationProceedings 8. IFAC International Conference on Manoeuvring and Control of Marine Craft : MCMC'2009
    Publication date2009
    Pages316-321
    DOIs
    Publication statusPublished - 2009
    Event8th IFAC Conference on Manoeuvring and Control of Marine Craft - Guaruja, Sao Paulo, Brazil
    Duration: 16 Sept 200918 Sept 2009
    Conference number: 8
    https://www.sciencedirect.com/journal/ifac-proceedings-volumes/vol/42/issue/18

    Conference

    Conference8th IFAC Conference on Manoeuvring and Control of Marine Craft
    Number8
    LocationGuaruja
    Country/TerritoryBrazil
    CitySao Paulo
    Period16/09/200918/09/2009
    Internet address

    Bibliographical note

    This paper received the Best Regular Paper Award at MCMC'2009

    Keywords

    • Information systems and methods
    • Roll damping

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